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RESEARCH PAPER · Progress in Energy and Combustion Science · 2024

Battery safety: Machine learning-based prognostics

Jingyuan Zhao, Xuning Feng, Quanquan Pang, Michael William Fowler, Yubo Lian, Minggao Ouyang, Andrew F. Burke

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Battery safety: Machine learning-based prognosticsOriginalReliability Degradation Analysis from Prognosis and Health Management for Lithium-Ion Batteries on Electric Vehicles0Reliability Degradation Analysis from Prognosis and Health Management for Lithium-Ion Batteries on Electric Vehicles0Recent Advances in Thermal Management Strategies for Lithium-Ion Batteries: A Comprehensive Review102Advances and challenges in thermal runaway modeling of lithium-ion batteries116A simplified mathematical modeling approach for thermal runaway of Li(Ni0.8Co0.1Mn0.1)O2 pouch cells based on thermal runaway experimental data15Vehicle-cloud-collaborated prognosis and health management for lithium-ion batteries: Framework, technics and perspective30Vehicle choice modeling for emerging zero-emission light-duty vehicle markets in California14Enhancing the maintenance strategy and cost in systems with surrogate assisted multiobjective evolutionary algorithms7Lithium-Ion Battery SOH Estimation Method Based on Multi-Feature and CNN-BiLSTM-MHA17Enhanced Wireless Communication Optimization with Neural Networks, Proximal Policy Optimization and Edge Computing for Latency and Energy Efficiency3Vehicle choice modeling for emerging zero-emission medium- and heavy-duty vehicle markets in California19Implementation of Multifaceted Safety Indicators-Based Battery Protection System for Battery Faults and Failures1Evaluating the thermal stability of chemicals and systems: A review21Specialized convolutional transformer networks for estimating battery health via transfer learning47Personalized Automated Braking for One-Pedal Driving in Electric Vehicles Using Model Predictive Control13Artificial intelligence-driven real-world battery diagnostics100A review of chalcogenide-based perovskites as the next novel materials: Solar cell and optoelectronic applications, catalysis and future perspectives111Machine Learning for Safety in Lithium Battery Energy Storage: A Comprehensive Review1An IoT-based predictive model for improved battery management system using advanced LSTM model17Battery engineering safety technologies (BEST): M5 framework of mechanisms, modes, metrics, modeling, and mitigation39Integrating machine learning for health prediction and control in over-discharged Li-NMC battery systems13Battery state of health estimation using an AutoGluon-tabular model incorporating uncertainty quantification12Energy storage using computer vision: control and optimization of energy storage2Characterization of pressure oscillations and combustion noise of hydrogen reactivity-controlled compression ignition (RCCI)6Battery state of charge estimation for electric vehicle using Kolmogorov-Arnold networks79Lithium-Ion Battery Health Estimation with Incomplete Charging Data and Spiking ResNet0Predictive pretrained transformer (PPT) for real-time battery health diagnostics68Lithium-ion battery SOH estimation method based on multi-feature and CNN-KAN24Cross-material battery capacity estimation using hybrid-model fusion transfer learning44Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems19Recent advances and perspectives in enhancing thermal state of lithium-ion batteries with phase change materials: Internal and external heat transfer enhancement factors33Integrating market penetration and cost technologies (IMPACT): Procurement incentives on fuel cell electric truck adoption in California8Resource-efficient artificial intelligence for battery capacity estimation using convolutional FlashAttention fusion networks35Mechanical Behavior and Failure Prediction of Cylindrical Lithium-Ion Batteries Under Mechanical Abuse Using Data-Driven Machine Learning9A Comprehensive Review of Supervised Learning Algorithms in Healthcare Applications2Solid-State lithium-ion battery electrolytes: Revolutionizing energy density and safety93Photoemission spectroscopy of battery materials5Remaining useful life prediction of lithium-ion battery with nonparametric degradation modeling and incomplete data45Battery Fault Detection Using Enhanced Spatial-Temporal Features for Electric Vehicles0Advances in flow pattern design of liquid-cooled components for battery thermal management system12An early detection and location method for internal short circuit faults in series-connected lithium-ion battery packs13Thermal runaway and flame propagation in battery packs: numerical simulation and deep learning prediction12Battery Prognostics and Health Management: AI and Big Data25Advancements and Challenges in Lithium-Ion Battery Lifecycle Management Toward a Sustainable Circular Economy for Electric Vehicles19Balancing Performance and Transparency: Explainable AI for Battery Health Monitoring1Causal Physics-Infused Hybrid Learning (CPIHL) Framework for Next-Gen Battery Health Forecasting8Deep Neural Network Approach for Lithium-Ion Battery Health State Prediction and Remaining Useful Life Estimation0Enhancing UAV Safety Through Battery Health Monitoring and Flight Log-Based Crash Diagnostics3Harnessing the leading edge: machine learning ventures in chemistry and materials science3Inverter Open Circuit Fault Diagnosis Method Based on Residual Evaluation and Machine Learning2Machine learning-assisted design and prediction of materials for batteries based on alkali metals8Scalable Mixed-Criticality Safety Concepts for a Stationary Battery Management System (BMS) With Integrated Machine Learning (ML)4Advances and perspectives in fire safety of lithium-ion battery energy storage systems137Passive thermal management of electronic devices39Physics-Informed Fractional-Order Recurrent Neural Network for Fast Battery Degradation with Vehicle Charging Snippets9State of Health Prediction for Lithium-Ion Battery Pack Using a Shared Embedding Layer-Based Quantum Long Short-Term Memory with Transfer Learning2Comparative Analysis of Neural Network Models for Predicting Battery Pack Safety in Frontal Collisions5Barabási-albert model-enhanced genetic algorithm for optimizing LGBM in ship power grid fault diagnosis18Battery fault diagnosis methods for electric vehicle lithium-ion batteries: Correlating codes and battery management system26Fault mitigation and diagnosis for lithium-ion batteries: a review27Artificial Intelligence-Driven Electric Vehicle Battery Lifetime Diagnostics5Thermal safety focus and early warning of lithium-ion batteries: A systematic review38Battery state estimation for electric vehicles: Translating AI innovations into real-world solutions21Fault prognosis of Li-ion batteries in electric vehicles: Recent progress, challenges and prospects42Battery abnormality detection based on important sample selection for large-scale vehicle monitoring3Battery state of health estimation under fast charging via deep transfer learning52Design of Temperature Monitoring and Fault Warning System for Lithium Ternary Battery Case3Investigating lithium-ion battery discharge capacity under variable operating conditions using nature-inspired hybrid algorithms with minimal descriptors6Challenges and prospects in real-world battery status prediction within Industry 4.07Thermoresponsive Mono‐Solvent Electrolyte Inhibiting Parasitic Reactions for Safe Lithium Metal Batteries23Exploring the impact of different insulation methods on the suppression of thermal propagation in high-capacity LiFePO4 batteries6SOH Prediction of Battery Packs Using Dynamic Graph Convolution Combined with KAN-Driven Methods1State estimation of lithium-ion batteries via physics-machine learning combined methods: A methodological review and future perspectives67Revolutionizing Battery Safety: Real-Time Insights with Dynamic Electrochemical Impedance Spectroscopy45Recent advancements and perspectives in lithium-ion battery aging: Mechanism, characterization, and prediction41A novel fault detection and isolation method for electric vehicle introducing kernel differential of SVDD6Diagnosis of Soft External Short Circuit Faults for Lithium-Ion Battery Modules Based on Cumulative Current Integration Features2An improved pelican optimization-kernel extreme learning machine for highly accurate state of charge estimation of lithium-ion batteries in energy storage systems4Miniature Real-Time Compact Deep Neural Network With Zero-Shot Neural Architecture Search for Lithium-Ion Battery Fault Diagnosis5A critical review on lithium ion battery modeling, battery management system and thermal runaway issues13Strategies for passive thermal management of lithium-ion batteries in microgravity: Combining PCMs, metal foams, fins, and nanoparticles34Fault detection for lithium-ion batteries of electric vehicles with spatio-temporal autoencoder28Real-time prediction of battery remaining useful life using hybrid-fusion deep neural networks26Developing safe and high-performance lithium-ion batteries: Strategies and approaches97Optimizing State of Charge Estimation in Lithium–Ion Batteries via Wavelet Denoising and Regression-Based Machine Learning Approaches7Advancements, Challenges, and Future Trajectories in Advanced Battery Safety Detection53Direct‐ink‐writing of all‐solid‐state batteries with solvent‐free, non‐flammable electrolytes toward wearable electronics17Prediction of state-of-health and remaining useful life for lithium-ion batteries using short-term relaxation voltage14Adaptive Safety Modeling for Improved Battery Protection via Integrated State-of-Safety Estimation1Advancements and challenges in battery thermal management technologies for electric vehicles; a systematic navigation on the latest trends18Design and fabrication of machine learning optimized Ni and Co-doped CuO nanocomposite as promising material for supercapacitor application14Flame-retardant phase-change aerogel: Experimental characterization and battery thermal management simulation9Battery temperature anomaly early warning for electric vehicles under real driving conditions using a temporal convolutional network5A Mid-Term Scheduling Method for Cascade Hydropower Stations to Safeguard Against Continuous Extreme New Energy Fluctuations2A Comprehensive Review of Thermal Management Challenges and Safety Considerations in Lithium-Ion Batteries for Electric Vehicles54Status, challenges, and techniques of echelon utilization of retired lithium-ion batteries20A method for power battery cell inconsistency fault identification based on relative skewness density ratio outlier factor1Thermal safety and risk assessment of lithium-ion batteries aged in low-temperature and low-pressure environments4Ensuring Battery Safety in Electric Vehicles: Challenges, Developments, and Future Perspectives26A review of battery failure: classification, mechanisms, analysis, and management42Post-treatment-induced structural reconstruction of hard carbon toward optimized sodium storage: A perspective and review6Recent Advances in Dendrite Suppression Strategies for Solid-State Lithium Batteries: From Interface Engineering to Material Innovations21Designing fire-retardant polymer-based electrolytes and separators for high-energy-density lithium-ion batteries via combustion calorimetry and machine learning10Predicting the length of hospital stay in patients with congestive heart failure using data mining techniques0Battery Fault Detection Using Machine Learning: A Comprehensive Review0Sodium plating on hard carbon anodes in sodium-ion batteries: mechanisms, detection methods, and mitigation strategies18Health state estimation of retired batteries based on physical constraints8Biomimetic Thermal Safety Strategies in Batteries for Electric Vehicles: from Biological Principles to Engineering Approaches6Engineering semiconductor metal oxide nanostructures for chemiresistive gas sensors in early warning of battery thermal runaway17Reliability degradation analysis from prognosis and health management for lithium-ion batteries on electric vehicles2Thermal Insulation and Fireproof Aerogel Composites for Automotive Batteries10Modeling Electrochemical Na/K-Storage Behaviors of Carbonaceous Materials24Deep Evaluation and Design Guidance on Data Transmission Protocols From On-Board Vehicles to Cloud Platforms0Fault diagnosis method for lithium-ion batteries based on image features and improved isolated forests8Early warning of lithium-ion battery thermal runaway based on gas sensors38Enhanced grid integration through machine-learning optimized bidirectional EV chargers1Reinforcement learning for adaptive fault detection in lithium-ion batteries: a next-generation approach for electric vehicles2Recent advances in fault diagnosis of ship integrated power systems: A review17Machine learning-based early-stage internal short circuit detection of lithium-ion batteries using electrochemical impedance spectroscopy6AI driven electrochemical interface design: Development and economic evaluation of low-cost electrode materials based on the 'structure-activity consumption' model6Battery safety and security for electric urban air mobility7Phase-resolved evaluation of thermal runaway in lithium-ion batteries via an entropy-weighted multi-criteria framework2Thermal fault detection in battery systems using principal component analysis with adaptive thresholding8Bioinspired uncertainty network for state of health estimation of lithium-ion batteries based on partial charging data0Review of Fault Detection Approaches for Large-Scale Lithium-Ion Battery Systems: A Spatio-Temporal Perspective12From First Life to Second Life: Advances and Research Gaps in Prognosis Techniques for Lithium-Ion Batteries3End-to-end millisecond-level battery aging diagnostics for electric vehicles1A lithium-ion battery capacity degradation prediction method based on adaptive multi-scale feature extraction2BattBee: Equivalent circuit modeling and early detection of thermal runaway triggered by internal short circuits for lithium-ion batteries7Mechanical-chemical synergy in photochemical mechanical polishing monocrystalline yttrium aluminum garnet: An integrated machine learning, response surface, and mathematical methodology29External Short Circuit of Lithium‐Ion Battery After Low Temperature Aging1Advancements in lithium-ion battery materials for thermal runaway prevention9Enhancing safety of lithium-ion batteries in sustainable energy systems through intelligent minor short-circuits fault detection5Characterization of Venting Rate During Thermal Runaway in Pouch‐Type Lithium‐Ion Batteries0Enhancing Critical Infrastructure Resilience: An Integrated Framework for Hazardous Material Management of Electric Vehicle Batteries0Investigating the relationship between smart manufacturing projects and process quality improvement: A literature review0Prediction Technique for Heat Transfer in Helically Coiled Tubes via Artificial Neural Networks0Safety Aspects of Solid-State Batteries0The Prediction Model of Thermal Runaway Trigger Temperature for Lithium-Ion Batteries Based on Interpretable Machine Learning0State of Health Estimation of Lithium-Ion Batteries Across Temperatures Using EIS-Based Features2Transferable variational autoencoder approach for semi-supervised lithium-ion battery anomaly detection3Advanced Electronic Materials for Liquid Thermal Management of Lithium-Ion Batteries: Mechanisms, Materials and Future Development Directions10Role of deep learning in battery management system (BMS) for electric vehicles – A review6Representation learning accelerates the development of models for Li-ion battery health diagnostics and prognostics4From hype to impact: A roadmap for trustworthy battery AI2Research on intelligent safety of real-world vehicle power battery based on charging pile data1LOF-based early warning method for battery inconsistency considering dynamic threshold in electric vehicles0A real vehicle battery multi-fault diagnosis method integrating sliding time-space Manhattan distance test and adaptive threshold1Smart Battery Management: Leveraging Prognostics for Improved System Performance0Coupling Data‐Driven and Reinforcement Learning for Material Development and Device Management in Batteries4

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